Performance metrics for correlation and tracking algorithms
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Authors
Dietrich, Nathan S.
Subjects
Advisors
Koyak, Robert A.
Date of Issue
2001-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Military commanders require situational awareness to support real-time decis ion-making. To obtain information on possibly hostile entities in an area of interest, surveillance systems, which receive information from sensors such as radars, intelligence, and other sources, are often used. One of the objectives of surveillance systems that track aircraft is the formation of a Single Integrated Air Picture (SIAP), that represents a coherent resolution of information. Correlation is the process by which sensor measurements and other information are combined to keep the SIAP up-to-date in real time. A correlator, which is the software implementation of a correlation methodology, must resolve ambiguities and conflicting information to provide an operationally useful synthesis of surveillance data. Possible ambiguities include missed tracks, extra tracks, or position and velocity errors. The metrics developed in this thesis are designed for use in evaluating the performance of air surveillance systems, of which correlators are an integral part. Maneuvering or closely spaced aircraft pose difficult issues for air surveillance systems. These are addressed by the performance metrics. Using scripted test scenarios in a modeling and simulation environment, comparisons of correlators can be made using nonparametric statistical methods. An experiment constructed in this manner can be used to support acquisition decision-making.
Type
Thesis
Description
Series/Report No
Department
Operations Research
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NPS Report Number
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Format
xxii, 87 p. ;
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Distribution Statement
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.